How to get your Adobe Commerce data ready for agentic AI

Adobe Commerce (formerly known as Magento) runs the storefront, checkout, and order pipeline for many B2B and B2C sellers, and it holds the transaction history that sales ops and RevOps teams need to answer questions fast. Getting your Adobe Commerce data AI agent-ready means centralizing it in a warehouse or data lake where AI agents can query your full order history, join it with other data sources, and surface answers on demand. A sales ops leader asks, "Which company accounts have open orders against their credit limit right now?" and gets an answer in seconds instead of a spreadsheet request. Fivetran + dbt Labs deliver the complete data foundation agents need — Fivetran moves Adobe Commerce data reliably into your warehouse or data lake, and dbt Labs transforms it into trusted, AI-ready tables.

Why Adobe Commerce data is critical for agentic AI

Adobe Commerce holds order, customer, product, invoice, credit memo, shipment, coupon, and B2B company account records — everything a sales ops or RevOps team needs to understand revenue, order status, and account health. But that data lives inside the storefront's operational system, built to run checkout, not to answer business questions. Pulling one view of order-to-cash performance today means someone manually exporting orders, invoices, credit memos, and returns, then reconciling them by hand, a task that stops scaling the moment order volume grows across stores and store views. By the time a report reaches a sales ops leader, the numbers are already a day or more old, and someone has already made the decision about which account needs a credit review or which promotion to extend, without that data. Agentic AI closes that gap, but only when Adobe Commerce data sits in infrastructure built for agents, not just analytics — centralized, current, and connected to the rest of the business.

What agentic AI can do with Adobe Commerce data

A sales ops team asks which B2B company accounts are approaching their credit limit while still carrying open orders, and an agent cross-references company, company credit, and order records to flag at-risk accounts before a shipment stalls.

A RevOps leader asks how order-to-cash timing is trending across stores, and an agent joins order, invoice, shipment, and transaction records to show exactly where payment or fulfillment is lagging, without waiting on a manual reconciliation.

A sales ops analyst asks how much revenue a specific coupon or sales rule actually drove last quarter, and an agent ties coupon and sales rule usage back to the orders and customers that redeemed them, separating real lift from discounts customers would have used anyway.

A RevOps leader asks how returns and credit memos are affecting net revenue by product line, and an agent pulls credit memo, return, and product data together into a single answer instead of the separate spreadsheets someone has to reconcile manually.

How Fivetran gets your Adobe Commerce data ready for agentic AI

Raw Adobe Commerce data lives in an operational system tuned for checkout speed, not analysis — the operational system spreads order, invoice, credit memo, and company account records across many linked tables, and none of it is useful to an agent until Fivetran extracts, organizes, and keeps it current. Fivetran connects directly to your Adobe Commerce account, incrementally syncs order, customer, product, cart, coupon, credit memo, invoice, shipment, and transaction records to keep them current, and backfills your full order history so agents can reason across a single quarter or several years of activity. Supporting records, including company accounts, store, inventory, tax, and sales rule data, sync on a weekly cadence to round out the picture. Fivetran + dbt Labs centralize, cleanse, and govern this data directly in your warehouse or data lake, turning scattered commerce records into clean, trusted, AI-ready tables. Teams that want to unify commerce data with other systems at scale can also route it through Fivetran Managed Data Lake Service.

What your Adobe Commerce data unlocks for your team

With Adobe Commerce data centralized in a warehouse or data lake, AI agents can unlock capabilities your sales ops and RevOps teams could not access before.

• Account health monitoring — flag B2B company accounts nearing their credit limit before an order stalls.
• Order-to-cash visibility — track orders from placement through invoicing, shipment, and payment in one connected view.
• Promotion performance — measure which coupons and sales rules actually drive incremental revenue instead of just redemption counts.
• Returns and credit impact — see how credit memos and returns are affecting net revenue by product or store.
• Store-level reporting — compare order and customer activity across every store and store view without manual exports.

FAQ

What does it mean for Adobe Commerce data to be AI agent-ready?

It means Fivetran centralizes your order, customer, product, and account data from Adobe Commerce in a warehouse or data lake, and dbt cleanses and models it so an AI agent can query it directly. Agents can then combine that data with other business systems and answer questions without a person building a report first.

What can my team actually do with AI agents and Adobe Commerce data?

Sales ops and RevOps teams can ask direct questions about account credit exposure, order-to-cash timing, promotion performance, and returns impact, and get an answer immediately instead of waiting on a manual export and reconciliation.

Is Adobe Commerce data ready for AI agents out of the box?

No. You need to centralize, model, and govern Adobe Commerce data before an agent can query it reliably.

Do we need a data engineering team to set this up?

Fivetran automates the movement of Adobe Commerce data into your warehouse or data lake, and dbt Labs provides the modeling and governance tools to make it usable — neither requires a large engineering team, and ongoing maintenance typically falls to a small analytics function.

How does Fivetran get Adobe Commerce data ready for AI agents?

Fivetran moves order, customer, product, and account data out of Adobe Commerce and into your warehouse or data lake, keeping it current through incremental syncs and complete through historical backfill. Fivetran + dbt Labs then centralize, cleanse, and govern that data into clean, trusted tables an agent can query directly, with dbt Labs' modeling and governance work applied directly to your synced data.

[CTA_MODULE]